Convalescent Plasma and the US Expanded Access Program: A Personal Narrative.

Between early April 2020 and late August 2020, nearly 100,000 patients hospitalized with SARS-CoV2 infections were treated with COVID-19 convalescent plasma (CCP) in the US under the auspices of an FDA-authorized Expanded Access Program (EAP) housed at the Mayo Clinic. Clinicians wishing to provide CCP to their patients during that 5-month period early in the COVID pandemic had to register their patients and provide clinical information to the EAP program. This program was utilized by some 2,200 US hospitals located in every state ranging from academic medical centers to small rural hospitals and facilitated the treatment of an ethnically and socio-economically diverse cross section of patients. Within 6 weeks of program initiation, the first signals of safety were found in 5,000 recipients of CCP, supported by a later analysis of 20,000 recipients (Joyner et al. in J Clin Invest 130:4791-4797, 2020a; Joyner et al. in Mayo Clin Proc 95:1888-1897, 2020b). By mid-summer of 2020, strong evidence was produced showing that high-titer CCP given early in the course of hospitalization could lower mortality by as much as a third (Joyner et al. in N Engl J Med 384:1015-1027, 2021; Senefeld et al. in PLoS Med 18, 2021a). These data were used by the FDA in its August decision to grant Emergency Use Authorization for CCP use in hospitals. This chapter provides a personal narrative by the principal investigator of the EAP that describes the events leading up to the program, some of its key outcomes, and some lessons learned that may be applicable to the next pandemic. This vast effort was a complete team response to a crisis and included an exceptional level of collaboration both inside and outside of the Mayo Clinic. Writing just 4 years after the initiation of the EAP, this intense professional effort, comprising many moving parts, remains hard to completely understand or fully explain in this brief narrative. As Nelson Mandela said of the perception of time during his decades in prison, "the days seemed like years, and the years seemed like days."

Sales Revenues for New Therapeutic Agents Approved by the United States Food and Drug Administration From 1995 to 2014.

OBJECTIVES: This study aimed to analyze worldwide sales of new therapeutic agents and to estimate the time it takes for product sales to exceed industry-wide average drug development costs. METHODS: Data obtained from company reports were analyzed to track worldwide sales of new medicines approved by the US Food and Drug Administration from 1995 to 2014. All sales figures were reported in 2019 US dollars. Kaplan-Meier curves were used to evaluate the time it took for discounted product sales to exceed the average costs associated with developing 1 new drug (accounting for the costs of failed trials), using published estimates of these costs. RESULTS: Based on data for 361 of 558 new therapeutic agents approved over the study period (median follow-up 13.2 years), mean sales revenue per product was $15.2 billion through the end of 2019; the median was $6.7 billion. These products jointly generated global sales of $5.5 trillion since approval. Revenues were highly skewed, with the 25 best selling products (7%, 25 of 361) accounting for 38% of this amount ($2.1 trillion of $5.5 trillion). Approximately 47% of products had discounted sales that exceeded the estimated industry-wide average costs of development within 5 years of approval, and 75% within 10 years. After attributing potential production, marketing, and other costs, these numbers dropped to 21% of products within 5 years of approval, and 46% within 10 years. CONCLUSIONS: Sales of new medicines approved from 1995 to 2014 were highly skewed, but many products had net discounted sales that exceeded the industry-wide average costs of development within 10 years of approval. An understanding of how sales revenues accrue in the years after initial approval, alongside data on business costs, can inform discussions about how to incentivize private investment in innovation while ensuring affordable prices for patients and the healthcare system.

Recent advances in hepatitis E virus research and the Japanese clinical practice guidelines for hepatitis E virus infection.

Acute hepatitis E was considered rare until reports emerged affirming the existence of hepatitis E virus (HEV) genotypes 3 and 4 infections in Japan in the early 2000s. Extensive studies by Japanese researchers have highlighted the pivotal role of pigs and wild animals, such as wild boars and deer, as reservoirs for HEV, linking them to zoonotic infections in Japan. Currently, when hepatitis occurs subsequent to the consumption of undercooked or grilled pork, wild boar meat, or offal (including pig liver and intestines), HEV infection should be considered. Following the approval of anti-HEV immunoglobulin A antibody as a diagnostic tool for hepatitis E by Japan's Health Insurance System in 2011, the annual number of diagnosed cases of HEV infection has surged. Notably, the occurrence of post-transfusion hepatitis E promoted nationwide screening of blood products for HEV using nucleic acid amplification tests since 2020. Furthermore, chronic hepatitis E has been observed in immunosuppressed individuals. Considering the significance of hepatitis E, heightened preventive measures are essential. The Japan Agency for Medical Research and Development Hepatitis A and E viruses (HAV and HEV) Study Group, which includes special virologists and hepatologists, held a virtual meeting on February 17, 2024. Discussions encompassed pathogenesis, transmission routes, diagnosis, complications, severity factors, and ongoing and prospective vaccination or treatments for hepatitis E. Rigorous assessment of referenced studies culminated in the formulation of recommendations, which are detailed within this review. This comprehensive review presents recent advancements in HEV research and Japanese clinical practice guidelines for HEV infection.

Modeling impact of inflation reduction act price negotiations on new drug pipeline considering differential contributions of large and small biopharmaceutical companies.

BACKGROUND/AIMS: Provisions of the Inflation Reduction Act mandating drug price negotiation by the Centers for Medicare & Medicaid Services have been criticized as a threat to pharmaceutical innovation. This study models potential impacts of the Inflation Reduction Act on drug approvals based on the differential contributions of large pharmaceutical companies and smaller biotechnology firms to clinical trials and the availability of capital. METHODS: This study examined research and development expense, revenue, and new investment (sale of common and preferred stock) by public biopharmaceutical companies and sponsorship of phased clinical trials in ClinicalTrials.gov. Financial data were incorporated in a model that estimates the number of drugs in each phase and approvals from reported phase-specific costs and transition rates, proportional sponsorship of trials by companies of different size, projected reductions in research and development spending based on company size, and three scenarios by which large companies may allocate reductions in research and development spending among clinical phases: (1) research and development proportionally reduced across phases; (2) research and development disproportionally reduced in phases 2-3; and (3) research and development disproportionately reduced in phases 1-2. RESULTS: Financial data were examined for 1378 public biopharmaceutical companies (2000-2018). Research and development expense was associated with revenue for 79 large companies with market capitalization ≥$7 billion with a 10% reduction in revenue reducing research and development expense by 8.4%. For 1299 smaller companies with market capitalization <$7 billion, research and development was associated with new investment, but not revenue. Smaller companies sponsored 55.2% of phase 1, 55.6% of phase 2, and 49.8% of phase 3 trials in ClinicalTrials.gov 2013-2018. In a model of clinical development that apportions clinical trials between large and smaller companies and determines the number of trials based on research and development resources, 400 drugs entering development produced 47.3 approvals (11.83% rate). A 10% reduction in revenue, reflecting the upper boundary of observed changes 2000-2018, with (1) proportional reduction across phases 1-3 produced 45.1 approvals (4.61% reduction); (2) disproportional reduction of phases 2-3 produced 42.8 approvals (9.55% reduction); and (3) disproportional reduction of phases 1-2 produced 46.9 approvals (0.95% reduction). CONCLUSION: This work suggests that the drug price negotiation provisions of the Inflation Reduction Act could have little or no impact on the number of drug approvals. While large pharmaceutical companies may reduce research and development spending, continued research and development by smaller companies and strategic allocation of research and development resources by large companies may mitigate any negative effects of the Inflation Reduction Act.

Factor XI: structure, function and therapeutic inhibition.

Arterial and venous thromboembolism is a major medical concern that requires therapeutic anticoagulation in various medical fields to prevent its drastic consequences. Despite significant advances in anticoagulant therapy, thrombosis remains a leading cause of morbidity and mortality worldwide. Traditional anticoagulants like heparin and vitamin K antagonists (VKAs) have shown efficacy in preventing and treating thrombosis but come with an inherent risk of bleeding due to their non-specific inhibition of multiple coagulation factors. Subsequent direct oral anticoagulants (DOACs), targeting specific factors such as Xa or thrombin, demonstrated improved safety profiles compared to VKAs, yet bleeding remains a concern. Accordingly, research is focused on developing anticoagulants with improved safety profiles. A safer class of anticoagulants would have broad appeal. The intrinsic pathway of coagulation, involving factor XI (FXI), has attracted attention as a potential target for safer anticoagulants. Preclinical studies and epidemiological data indicate that FXI deficiency or inhibition protects against thrombosis with minimal bleeding. Current research involves evaluating various FXI-directed strategies, and phase 2 studies have shown promising results in orthopedic surgery, atrial fibrillation, end-stage renal disease (ESRD), myocardial infarction, and ischemic stroke. Several agents, such as antisense oligonucleotides, monoclonal antibodies, small synthetic molecules, natural peptides, and aptamers, have been developed to inhibit FXI at different stages, offering potentially safer alternatives to traditional anticoagulants. However, the optimal balance between preventing thrombosis and the risk of bleeding associated with FXI inhibitors requires validation through extensive phase 3 clinical trials using definite clinical endpoints. Several of such trials are currently underway or planned to define the role of FXI inhibitors in clinical practice and determine the most suitable FXI inhibitor for each specific indication. The current review highlights the rationale behind developing FXI inhibitors, presenting the most advanced agents in development, summarizing completed clinical trials, and discussing ongoing research efforts.

Towards mission-driven investment in new antimicrobials? What role for Chinese strategic industrial financing vehicles in responding to the challenge of antimicrobial resistance?

BACKGROUND: Antimicrobial resistance (AMR) causes high levels of global mortality. There is a global need to develop new antimicrobials to replace those whose efficacy is being eroded, but limited incentive for companies to engage in R&D, and a limited pipeline of new drugs. There is a recognised need for policies in the form of 'push' and 'pull' incentives to support this R&D. This article discusses China, a country with a rapidly emerging pharmaceuticals and biotech (P&B) sector, and a history of using coordinated innovation and industrial policy for strategic and developmental ends. We investigate the extent to which 'government guidance funds' (GGFs), strategic industrial financing vehicles (a 'push' mechanism), support the development of antimicrobials as part of China's 'mission-driven' approach to innovation and industrial policy. GGFs are potentially globally significant, having raised approximately US$ 872 billion to 2020. RESULTS: GGFs have a substantial role in P&B, but almost no role in developing new antimicrobials, despite this being a priority in the country's AMR National Action Plan. There are multiple constraints on GGFs' ability to function as part of a mission-driven approach to innovation at present, linked to their business model and the absence of standard markets for antimicrobials (or other effective 'pull' mechanisms), their unclear 'social' mandate, and limited technical capacity. However, GGFs are highly responsive to changing policy demands and can be used strategically by government in response to changing needs. CONCLUSIONS: Despite the very limited role of GGFs in developing new antimicrobials, their responsiveness to policy means they are likely to play a larger role as P&B becomes an increasingly important component of China's innovation and industrial strategy. However, for GGFs to effectively play that role, there is a need for reforms to their governance model, an increase in technical and managerial capacity, and supporting ('pull') incentives, particularly for pharmaceuticals such as antimicrobials for which there is strong social need, but a limited market. Given GGFs' scale and strategic importance, they deserve further research as China's P&B sector becomes increasingly globally important, and as the Chinese government commits to a larger role in global health.

The advancement of artificial intelligence in biomedical research and health innovation: challenges and opportunities in emerging economies.

The advancement of artificial intelligence (AI), algorithm optimization and high-throughput experiments has enabled scientists to accelerate the discovery of new chemicals and materials with unprecedented efficiency, resilience and precision. Over the recent years, the so-called autonomous experimentation (AE) systems are featured as key AI innovation to enhance and accelerate research and development (R&D). Also known as self-driving laboratories or materials acceleration platforms, AE systems are digital platforms capable of running a large number of experiments autonomously. Those systems are rapidly impacting biomedical research and clinical innovation, in areas such as drug discovery, nanomedicine, precision oncology, and others. As it is expected that AE will impact healthcare innovation from local to global levels, its implications for science and technology in emerging economies should be examined. By examining the increasing relevance of AE in contemporary R&D activities, this article aims to explore the advancement of artificial intelligence in biomedical research and health innovation, highlighting its implications, challenges and opportunities in emerging economies. AE presents an opportunity for stakeholders from emerging economies to co-produce the global knowledge landscape of AI in health. However, asymmetries in R&D capabilities should be acknowledged since emerging economies suffers from inadequacies and discontinuities in resources and funding. The establishment of decentralized AE infrastructures could support stakeholders to overcome local restrictions and opens venues for more culturally diverse, equitable, and trustworthy development of AI in health-related R&D through meaningful partnerships and engagement. Collaborations with innovators from emerging economies could facilitate anticipation of fiscal pressures in science and technology policies, obsolescence of knowledge infrastructures, ethical and regulatory policy lag, and other issues present in the Global South. Also, improving cultural and geographical representativeness of AE contributes to foster the diffusion and acceptance of AI in health-related R&D worldwide. Institutional preparedness is critical and could enable stakeholders to navigate opportunities of AI in biomedical research and health innovation in the coming years.

Which roads lead to access? A global landscape of six COVID-19 vaccine innovation models.

BACKGROUND: Unequal and inequitable access to Covid-19 vaccines in low- and middle-income countries (L&MICs) was a major political, ethical and public health failure in the pandemic. However, vaccine developers' practices were not monolithic, but rather, took diverse approaches to supplying different countries, with important implications for global access. RESULTS: Using data on R&D investments, regulatory approvals, manufacturing and purchase agreements, and vaccine deliveries, we identified six distinct innovation models that apply across the 14 COVID-19 vaccines with more international presence from 2020-2022. "Western Early Arrivers" Pfizer/BioNTech and Moderna supplied the largest volumes quickly and prioritized high-income countries (HICs) from registration to vaccine delivery. "Western Latecomers" Janssen and Novavax supplied intermediate volumes later, also prioritizing HICs but with a greater proportion to L&MICs. "Major Chinese Developers" Sinopharm and Sinovac supplied intermediate volumes early, primarily to middle-income countries (MICs). "Russian Developer" Gamaleya completed development early but ultimately supplied small volumes, primarily to middle-income countries (MICs). "Cosmopolitan Developer" Oxford/AstraZeneca supplied large volumes early to HICs and MICs at the lowest prices. Finally, "Small MIC Developers" CanSino, Bharat Biotech, Medigen, Finlay Institute and the Center for Genetic Engineering and Biotechnology (CGEB), exported relatively small volumes to a few MICs. Low-income countries (LICs) were not targeted by any developer, and received far fewer doses, later, than any other income group. Almost all developers received public funding and other forms of support, but we found little evidence that such support was leveraged to expand global access. CONCLUSIONS: Each of the six innovation models has different implications for which countries get access to which vaccines, how quickly, and at which prices. Each offers different strengths and weaknesses for achieving equitable access. Our findings also suggest that Western firms had the greatest capacity to develop and deliver vaccines quickly during the pandemic, but such capacity is rapidly becoming more globally distributed with MICs playing a significant role, especially in supplying other MICs. Given the critical role of public support in enabling pandemic vaccine development and supply, governments have both the capacity and responsibility to craft international rules that will make responses to future pandemics more equitable and effective.

Project-Based Public-Private Collaborations.

Project-based collaborations between a single academic group and a single pharmaceutical company arguably are the most frequent form of public-private partnership in preclinical research and development of new drugs. This chapter discusses the benefits of such collaborations for both sides and potential challenges that can arise before and during the conduct of a project. This is largely based on a survey of expectations and experience by 134 academic investigators with a history of engagement in a project-based collaboration with a pharmaceutical company as well as unstructured experience directly, and learned through discussions with colleagues, from the authors. Obviously, a key benefit for both sides is achieving goals that neither could easily achieve by itself. Scientific discovery, and publications, may be a shared benefit, while for academics, funding and access to compounds, and for industry, access to assay technology and reputational factors may be important. Major hurdles can be freedom to publish and assignment of intellectual property rights. On pragmatic grounds, reaching a contract can be cumbersome, which is largely attributable to the legal expectations and needs of both parties. However, overall satisfaction with project-based collaborations appears very high for academic investigators.

Collaborative Innovations in Childhood Cancer Therapies.

The outcome for children with cancer has improved significantly over the past 60 years, with more than 80% of patients today becoming 5-year survivors. Despite this progress, cancer remains the leading cause of death from disease in children in the United States and Europe, with significant short- and long-term toxicity of treatment continuing to impact most children. While the past 15 years have witnessed dramatic scientific innovation for certain cancers in adult patients, pediatric cancer treatment innovation lags increasingly behind. To help bridge the adult-pediatric therapeutic development gap, collaborative efforts are essential among stakeholders within and outside the pediatric oncology community. Prioritizing collaboration in areas such as cancer characterization, target identification and validation, drug discovery, and approaches to currently "undruggable" targets is imperative to improving the outcomes for children with cancer.

Exploring residents' willingness to pay for the research and development of renewable energy: A survey from first-tier cities in China.

The research and development (R&D) of renewable energy (RE) is crucial for cost reduction in electricity generation and enhancing power system stability. Compared to traditional fossil fuels, it demands more financial support. To investigate Chinese residents' willingness to pay (WTP) for the R&D of RE and its influencing factors, we conducted a large-scale online survey in four first-tier cities in China in 2023. The research findings indicate that (1) Chinese residents are willing to pay approximately 31.20 yuan (4.34 USD) per month for the R&D of RE. (2) WTP is higher under a mandatory payment model than a voluntary one. (3) Electricity consumption, environmental concern, environmental behavior, willingness to participate, satisfaction with government RE policies, and trust in the government's environmental governance capability significantly influence WTP. (4) Younger, male, and larger household residents exhibit higher WTP. Based on these findings, targeted policy recommendations were proposed.

Drug Repurposing in the Chemotherapy of Infectious Diseases.

Repurposing is a universal mechanism for innovation, from the evolution of feathers to the invention of Velcro tape. Repurposing is particularly attractive for drug development, given that it costs more than a billion dollars and takes longer than ten years to make a new drug from scratch. The COVID-19 pandemic has triggered a large number of drug repurposing activities. At the same time, it has highlighted potential pitfalls, in particular when concessions are made to the target product profile. Here, we discuss the pros and cons of drug repurposing for infectious diseases and analyze different ways of repurposing. We distinguish between opportunistic and rational approaches, i.e., just saving time and money by screening compounds that are already approved versus repurposing based on a particular target that is common to different pathogens. The latter can be further distinguished into divergent and convergent: points of attack that are divergent share common ancestry (e.g., prokaryotic targets in the apicoplast of malaria parasites), whereas those that are convergent arise from a shared lifestyle (e.g., the susceptibility of bacteria, parasites, and tumor cells to antifolates due to their high rate of DNA synthesis). We illustrate how such different scenarios can be capitalized on by using examples of drugs that have been repurposed to, from, or within the field of anti-infective chemotherapy.

AI-based R&D for frozen and thawed meat: Research progress and future prospects.

Frozen and thawed meat plays an important role in stabilizing the meat supply chain and extending the shelf life of meat. However, traditional methods of research and development (R&D) struggle to meet rising demands for quality, nutritional value, innovation, safety, production efficiency, and sustainability. Frozen and thawed meat faces specific challenges, including quality degradation during thawing. Artificial intelligence (AI) has emerged as a promising solution to tackle these challenges in R&D of frozen and thawed meat. AI's capabilities in perception, judgment, and execution demonstrate significant potential in problem-solving and task execution. This review outlines the architecture of applying AI technology to the R&D of frozen and thawed meat, aiming to make AI better implement and deliver solutions. In comparison to traditional R&D methods, the current research progress and promising application prospects of AI in this field are comprehensively summarized, focusing on its role in addressing key challenges such as rapid optimization of thawing process. AI has already demonstrated success in areas such as product development, production optimization, risk management, and quality control for frozen and thawed meat. In the future, AI-based R&D for frozen and thawed meat will also play an important role in promoting personalization, intelligent production, and sustainable development. However, challenges remain, including the need for high-quality data, complex implementation, volatile processes, and environmental considerations. To realize the full potential of AI that can be integrated into R&D of frozen and thawed meat, further research is needed to develop more robust and reliable AI solutions, such as general AI, explainable AI, and green AI.

The Artificial Intelligence-Powered New Era in Pharmaceutical Research and Development: A Review.

Currently, artificial intelligence (AI), machine learning (ML), and deep learning (DL) are gaining increased interest in many fields, particularly in pharmaceutical research and development, where they assist in decision-making in complex situations. Numerous research studies and advancements have demonstrated how these computational technologies are used in various pharmaceutical research and development aspects, including drug discovery, personalized medicine, drug formulation, optimization, predictions, drug interactions, pharmacokinetics/ pharmacodynamics, quality control/quality assurance, and manufacturing processes. Using advanced modeling techniques, these computational technologies can enhance efficiency and accuracy, handle complex data, and facilitate novel discoveries within minutes. Furthermore, these technologies offer several advantages over conventional statistics. They allow for pattern recognition from complex datasets, and the models, typically developed from data-driven algorithms, can predict a given outcome (model output) from a set of features (model inputs). Additionally, this review discusses emerging trends and provides perspectives on the application of AI with quality by design (QbD) and the future role of AI in this field. Ethical and regulatory considerations associated with integrating AI into pharmaceutical technology were also examined. This review aims to offer insights to researchers, professionals, and others on the current state of AI applications in pharmaceutical research and development and their potential role in the future of research and the era of pharmaceutical Industry 4.0 and 5.0.

Innovative device for surgical wound irrigation: a preclinical testing and pilot clinical validation study.

INTRODUCTION: Surgical site infection (SSI) poses a substantial postoperative challenge, affecting patient recovery and healthcare costs. While surgical wound irrigation is pivotal in SSI reduction, consensus on the optimal method remains elusive. We developed a novel device for surgical wound irrigation and conducted preclinical and clinical evaluations to evaluate its efficacy and safety. METHODS: Two preclinical experiments using swine were performed. In the washability test, two contaminated wound model were established, and the cleansing rate between the device and the conventional method were compared. In the contamination test, the irrigation procedure with a fluorescent solution assessed the surrounding contamination of drapes. Subsequently, a clinical trial involving patients undergoing abdominal surgery was conducted. RESULTS: The washability test demonstrated significantly higher cleansing rates with the device method (86.4% and 82.5%) compared to the conventional method (65.2% and 65.1%) in two contamination models. The contamination test revealed a smaller contaminated region with the device method than the conventional method. In the clinical trial involving 17 abdominal surgery cases, no superficial SSIs or adverse events related to device use were observed. CONCLUSIONS: Our newly developed device exhibits potential for achieving more effective and safe SSI control compared to conventional wound irrigation.

Trend of pharmaceuticals 3D printing in the Middle East and North Africa (MENA) region: An overview, regulatory perspective and future outlook.

The traditional method of producing medicine using the "one-size fits all" model is becoming a major issue for pharmaceutical manufacturers due to its inability to produce customizable medicines for individuals' needs. Three-dimensional (3D) printing is a new disruptive technology that offers many benefits to the pharmaceutical industry by revolutionizing the way pharmaceuticals are developed and manufactured. 3D printing technology enables the on-demand production of personalized medicine with tailored dosage, shape and release characteristics. Despite the lack of clear regulatory guidance, there is substantial interest in adopting 3D printing technology in the large-scale manufacturing of medicine. This review aims to evaluate the research efforts of 3D printing technology in the Middle East and North Africa (MENA) region, with a particular emphasis on pharmaceutical research and development. Our analysis indicates an upsurge in the overall research activity of 3D printing technology but there is limited progress in pharmaceuticals research and development. While the MENA region still lags, there is evidence of the regional interest in expanding the 3D printing technology applications in different sectors including pharmaceuticals. 3D printing holds great promise for pharmaceutical development within the MENA region and its advancement will require a strong collaboration between academic researchers and industry partners in parallel with drafting detailed guidelines from regulatory authorities.

[Current status and challenges of clinical research and development of new drugs for liver diseases].

Liver disease is a serious public health problem worldwide, affecting human health. However, there are still many unmet needs for the treatment of liver disease, especially with new therapeutic drugs. At present, there is no treatment method to eradicate the hepatitis B virus, nor are there therapeutic drugs for liver fibrosis, liver failure, and others. Chemotherapy and targeted immunotherapy are still unsatisfactory for liver cancer. This article provides an overview of the current status and challenges that arise in new drug research and development for liver diseases.

[Challenges and optimization strategies for clinical research and the development of new drugs for liver fibrosis].

Liver fibrosis is a key step in the developmental process of various chronic liver diseases, including cirrhosis. Therefore, the focus and difficulty of liver disease research have always been on how to reverse liver fibrosis. However, due to complex mechanisms, difficulties in endpoint evaluation, a lack of non-invasive diagnostic methods, and other factors, the research and development of new drugs are hindered and lengthy. Currently, some new drugs are being researched and developed, which signifies the prospect is optimistic.

[Current situation and development trend of digital traditional Chinese medicine pharmacy].

The 21st century is a highly information-driven era, and traditional Chinese medicine(TCM) pharmacy is also moving towards digitization and informatization. New technologies such as artificial intelligence and big data with information technology as the core are being integrated into various aspects of drug research, manufacturing, evaluation, and application, promoting interaction between these stages and improving the quality and efficiency of TCM preparations. This, in turn, provides better healthcare services to the general population. The deep integration of emerging technologies such as artificial intelligence, big data, and cloud computing with the TCM pharmaceutical industry will innovate TCM pharmaceutical technology, accelerate the research and industrialization process of TCM pharmacy, provide cutting-edge technological support to the global scientific community, boost the efficiency of the TCM industry, and promote economic and social development. Drawing from recent developments in TCM pharmacy in China, this paper discussed the current research status and future trends in digital TCM pharmacy, aiming to provide a reference for future research in this field.

Community-Working Occupational Therapists' Involvement in Research and Development Projects in Norway.

The aim of this study was to explore community-working occupational therapists' involvement in research and development projects. A cross-sectional survey of occupational therapists working in community-based services in Norway (n = 617) was conducted. In all, 117 of the 617 participants responded that they were involved in research and development projects. Greater likelihood of participation in research and development work were found for occupational therapists who had completed further education. Current and prioritized research topics were professional development and the development of interprofessional and professional service designs for occupational therapy. Service and quality development, rehabilitation and technology were areas where more knowledge was considered needed. To increase the growth and success of occupational therapy research and development, it is important that more occupational therapists in the municipality continue to complete further education. High-quality occupational therapy practice should be based on research and development projects in the municipalities.